{"id":"https://openalex.org/W2106673720","doi":"https://doi.org/10.1109/cidm.2009.4938622","title":"Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces","display_name":"Building ultra-low false alarm rate Support Vector Classifier ensembles using Random Subspaces","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2106673720","doi":"https://doi.org/10.1109/cidm.2009.4938622","mag":"2106673720"},"language":"en","primary_location":{"id":"doi:10.1109/cidm.2009.4938622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2009.4938622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/951165","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021511902","display_name":"Barry Y. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Barry Y. Chen","raw_affiliation_strings":["Lawrence Livemore National Laboratory, Livermore, CA, USA","Lawrence Livermore National Laboratory, CA, 94551, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Livemore National Laboratory, Livermore, CA, USA","institution_ids":["https://openalex.org/I1282311441"]},{"raw_affiliation_string":"Lawrence Livermore National Laboratory, CA, 94551, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019558544","display_name":"Tracy D. Lemmond","orcid":null},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tracy D. Lemmond","raw_affiliation_strings":["Lawrence Livemore National Laboratory, Livermore, CA, USA","Lawrence Livermore National Laboratory, CA, 94551, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Livemore National Laboratory, Livermore, CA, USA","institution_ids":["https://openalex.org/I1282311441"]},{"raw_affiliation_string":"Lawrence Livermore National Laboratory, CA, 94551, USA","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108520035","display_name":"William G. Hanley","orcid":null},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William G. Hanley","raw_affiliation_strings":["Lawrence Livemore National Laboratory, Livermore, CA, USA","Lawrence Livermore National Laboratory, CA, 94551, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Livemore National Laboratory, Livermore, CA, USA","institution_ids":["https://openalex.org/I1282311441"]},{"raw_affiliation_string":"Lawrence Livermore National Laboratory, CA, 94551, USA","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021511902"],"corresponding_institution_ids":["https://openalex.org/I1282311441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12038384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8148788213729858},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.7163841128349304},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.680408239364624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6398903131484985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6329032182693481},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.616945743560791},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6019276976585388},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5841317176818848},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5801740884780884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5754440426826477},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5583126544952393},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5530239343643188},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4568735659122467},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.43763384222984314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2755011320114136}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8148788213729858},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.7163841128349304},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.680408239364624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6398903131484985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329032182693481},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.616945743560791},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6019276976585388},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5841317176818848},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5801740884780884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5754440426826477},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5583126544952393},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5530239343643188},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4568735659122467},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.43763384222984314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2755011320114136},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cidm.2009.4938622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2009.4938622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:951165","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/951165","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:951165","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/951165","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W167016754","https://openalex.org/W1540358749","https://openalex.org/W1580049798","https://openalex.org/W1585575376","https://openalex.org/W1680392829","https://openalex.org/W1936866406","https://openalex.org/W1995945562","https://openalex.org/W2058732827","https://openalex.org/W2087347434","https://openalex.org/W2113242816","https://openalex.org/W2117915653","https://openalex.org/W2119821739","https://openalex.org/W2153635508","https://openalex.org/W2158698691","https://openalex.org/W2164096571","https://openalex.org/W2167793421","https://openalex.org/W2171074980","https://openalex.org/W2294223532","https://openalex.org/W2440047659","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3120421331","https://openalex.org/W4212883601","https://openalex.org/W4239510810","https://openalex.org/W6606837198","https://openalex.org/W6632355836","https://openalex.org/W6634569365","https://openalex.org/W6635107838","https://openalex.org/W6637386731","https://openalex.org/W6683915272"],"related_works":["https://openalex.org/W2094490861","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972","https://openalex.org/W2165968459","https://openalex.org/W2280598164","https://openalex.org/W2189092700","https://openalex.org/W2993555267"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,60,65,77,89,100],"cost-sensitive":[4,23,66],"random":[5,17,51],"subspace":[6,18,52,102],"support":[7,24,67],"vector":[8,25,68],"classifier":[9],"(CS-RS-SVC),":[10],"a":[11,46,71,81],"new":[12],"learning":[13],"algorithm":[14],"that":[15],"combines":[16],"sampling":[19,53],"and":[20],"bagging":[21],"with":[22,113],"classifiers":[26],"to":[27,40,56,93,97,111],"more":[28,72],"effectively":[29,58],"address":[30],"detection":[31,49,78],"applications":[32],"burdened":[33],"by":[34,64],"unequal":[35],"misclassification":[36],"requirements.":[37],"When":[38],"compared":[39],"its":[41],"conventional,":[42],"non-cost-sensitive":[43],"counterpart":[44],"on":[45,99],"two-class":[47],"signal":[48],"application,":[50],"is":[54,91],"shown":[55,92],"very":[57],"leverage":[59],"additional":[61],"flexibility":[62],"offered":[63],"classifier,":[69],"yielding":[70],"than":[73],"four-fold":[74],"increase":[75],"in":[76,106],"rate":[79,84],"at":[80],"false":[82],"alarm":[83],"(FAR)":[85],"of":[86,109],"zero.":[87],"Moreover,":[88],"CS-RS-SVC":[90],"be":[94],"fairly":[95],"robust":[96],"constraints":[98],"feature":[101],"dimensionality,":[103],"enabling":[104],"reductions":[105],"computation":[107],"time":[108],"up":[110],"82%":[112],"minimal":[114],"performance":[115],"degradation.":[116]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
